Artificial intelligence operation and maintenance management system taking residence community as object

Abstract

The invention provides an artificial intelligence operation and maintenance management system taking a residence community as an object. The artificial intelligence operation and maintenance management system comprises a demand layer, a management layer and an execution layer, the demand layer comprises a private area module, the private area module is deployed in each residence, and the private area module comprises a data acquisition unit and a voice interaction unit; the management layer comprises a community artificial intelligence big data platform; the execution layer comprises a robot with a body, and the robot with the body is used for executing a service instruction from the community artificial intelligence big data platform; according to the community artificial intelligence big data platform, alarm information, environment information and energy consumption information are acquired by taking a residence as a unit through the data acquisition unit, so that the property service level and safety are improved; abnormal conditions in a residence can be recognized in time through collection of alarm information so that property management can find and process the abnormal conditions in time, the cognitive level of the residential environment of a community can be improved through collection of environment information and energy consumption information, and basic data are provided for building operation energy saving.

Description

Technical Field

[0001] This invention belongs to the field of intelligent systems for residential communities, and specifically relates to an artificial intelligence operation and maintenance management system for residential communities. Background Technology

[0002] With the introduction of the "four good" construction requirements—good houses, good communities, good neighborhoods, and good urban areas—improving the living environment and enhancing residents' experience and quality of life through the application of intelligent systems is crucial. However, currently, the focus in intelligent technology is mainly on smart home systems, and there are no mature community-level solutions yet.

[0003] The current level of intelligence in community management is low, and a large amount of data generated by community operation is not well maintained and utilized. The energy consumption of public buildings is well monitored, but data on the operation of residential communities is lacking. In order to ensure service quality, communities usually need to configure a large number of security guards, cleaners, and property equipment maintenance personnel. Conflicts often arise between owners and property staff due to communication problems. At the same time, due to the lack of data interoperability in the management system and the insufficient professional capabilities of property management personnel, the security and problem response speed of the community are both restricted.

[0004] Considering the common problems in residential communities such as low property service levels, poor security, and lack of operation and maintenance data, and in light of the current development trends of artificial intelligence big data modeling technology and intelligent robots, how to integrate advanced intelligent technologies into residents' specific life scenarios will become a key direction for the popularization of intelligent technologies. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an artificial intelligence operation and maintenance management system for residential communities that improves property service levels and security.

[0006] The technical solution of this invention is: an artificial intelligence operation and maintenance management system for residential communities, comprising:

[0007] Demand layer, management layer, and execution layer;

[0008] The demand layer includes a private area module, which is deployed inside each residence. The private area module includes a data acquisition unit and a voice interaction unit. The data acquisition unit is used to collect alarm information, environmental information and energy consumption information on a residence-by-residence basis. The voice interaction unit is used to collect the owner's voice command stream.

[0009] The management layer includes a community AI big data platform, which is used to collect information collected by the data acquisition unit and parse the residents' voice command stream through a natural language processing engine to output service instructions.

[0010] The execution layer includes an embodied robot, which executes service instructions from the community's artificial intelligence big data platform.

[0011] Furthermore, the natural language processing engine includes a parsing module and a classification module;

[0012] The parsing module is configured to automatically identify the owner's location by binding the owner's residential unit number with voiceprint features;

[0013] The classification module uses the BERT-3.0 model to generate JSON instructions containing position and priority fields.

[0014] Furthermore, the data acquisition unit includes:

[0015] An alarm subunit, comprising an intrusion detector, a smoke detector, a water immersion sensor, and a gas alarm;

[0016] An environmental subunit, comprising a temperature and humidity sensor, an air quality sensor, a light intensity sensor, and a noise sensor;

[0017] The energy consumption subunit includes a smart electricity meter and a smart gas meter.

[0018] Furthermore, the private area module includes a home gateway and a building gateway that is communicatively connected to the home gateway. The data acquisition unit is communicatively connected to the home gateway, and the building gateway is communicatively connected to the community's artificial intelligence big data platform.

[0019] Furthermore, the community's artificial intelligence big data platform is configured as follows:

[0020] When responding to a property maintenance request, an electronic work order with a priority tag is generated.

[0021] Furthermore, the community's artificial intelligence big data platform is configured as follows:

[0022] The community emergency response plan is triggered when keywords related to emergencies are identified.

[0023] Furthermore, the community's artificial intelligence big data platform is configured as follows:

[0024] Provides dynamic search services for information on surrounding facilities.

[0025] Furthermore, the community's artificial intelligence big data platform is configured as follows:

[0026] The owner's voice command stream is parsed using a natural language processing engine;

[0027] When it is recognized that the intervention of property management personnel is required, the voice interaction unit is connected to the property management personnel to start a dialogue, and instructions are issued to the property service personnel at the same time.

[0028] Furthermore, the embodied robot has a lidar SLAM positioning module, a robotic arm, and an interactive screen.

[0029] Furthermore, the demand layer also includes a public area module, which is equipped with an interface for expanding public facility monitoring.

[0030] The beneficial effects of this invention are:

[0031] (1) In this invention, the community artificial intelligence big data platform collects alarm information, environmental information and energy consumption information by residential unit through data collection unit, thereby improving the level of property services and security;

[0032] (2) The collection of alarm information can promptly identify abnormal situations in the residence, so that the property management can promptly discover and deal with them. The collection of environmental information and energy consumption information can improve the understanding of the residential environment of the community and provide basic data for building energy conservation.

[0033] (3) Owners can interact with the community's artificial intelligence big data platform through the voice interaction unit, use the community's artificial intelligence big data platform to identify owners' instructions, and send service instructions to the embodied robot as needed to control the embodied robot to implement services and improve the level of property services. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of the artificial intelligence operation and maintenance management system for residential communities in this invention. Detailed Implementation

[0035] Various exemplary embodiments of the invention will now be described in detail with reference to the accompanying drawings. The descriptions of the exemplary embodiments are merely illustrative and are in no way intended to limit the invention or its application or use. The invention can be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to make the invention thorough and complete, and to fully express the scope of the invention to those skilled in the art. It should be noted that, unless otherwise specifically stated, the relative arrangement of components and steps, the composition of materials, numerical expressions, and values ​​set forth in these embodiments should be interpreted as merely exemplary and not as limiting.

[0036] The terms "first," "second," and similar words used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different parts. Words such as "including" or "comprising" mean that the element preceding the word encompasses the element listed after it, without excluding the possibility of encompassing other elements. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0037] like Figure 1 As shown, an artificial intelligence operation and maintenance management system for residential communities is disclosed, including:

[0038] Demand layer, management layer, and execution layer;

[0039] The demand layer includes a private area module, which is deployed inside each residence. The private area module includes a data acquisition unit and a voice interaction unit. The data acquisition unit is used to collect alarm information, environmental information and energy consumption information on a residence-by-residence basis. The voice interaction unit is used to collect the owner's voice command stream.

[0040] The management team includes the community's AI big data platform, which collects information from the data acquisition unit and uses a natural language processing engine to parse the residents' voice command streams and output service instructions.

[0041] The execution layer includes embodied robots, which are used to execute service instructions from the community's artificial intelligence big data platform.

[0042] In this embodiment, the community's artificial intelligence big data platform collects alarm information, environmental information, and energy consumption information on a residential basis through a data acquisition unit, thereby improving the level of property services and security. The collection of alarm information can promptly identify abnormal situations within residences, enabling property management to detect and handle them in a timely manner. The collection of environmental and energy consumption information can enhance the understanding of the community's living environment and provide basic data for energy-saving building operations. The owner can interact with the community's artificial intelligence big data platform through a voice interaction unit, using the platform to recognize the owner's commands and send service instructions to the avatar robot as needed, controlling the avatar robot to implement services and improving the level of property services.

[0043] In the above embodiments, as a specific implementation of the natural language processing engine, the natural language processing engine includes a parsing module and a classification module. The parsing module is configured to automatically identify the owner's location by binding the owner's residential unit number to the voiceprint features. The classification module uses the BERT-3.0 model to generate JSON instructions containing location and priority fields. Specifically, the parsing module realizes the automatic binding of voice instructions to physical locations through the mapping relationship between voiceprint features and resident unit numbers, building numbers, unit numbers, and room numbers. The classification module is implemented using a three-level classifier of the BERT-3.0 model, where the first level is used to distinguish between business instructions and non-business instructions, the second level is used to subdivide business instructions into three categories: property maintenance, security handling, and information query, and the third level is used to identify the specific operation intent. Then, JSON instructions containing location and priority fields are generated.

[0044] In the above embodiments, the community's artificial intelligence big data platform integrates an artificial intelligence model and an edge computing module. The edge computing module is mainly used for data collection and preprocessing, and deploys a natural language processing engine to convert speech into text and extract basic instructions. The artificial intelligence model is used for data analysis, reinforcement learning, and optimized scheduling.

[0045] In some embodiments, the data acquisition unit includes:

[0046] The alarm subunit includes an intrusion detector, a smoke detector, a water immersion sensor, and a gas alarm, which are used to monitor indoor occupancy, fire prevention, water immersion, and gas leakage, respectively.

[0047] The environmental subunit includes a temperature and humidity sensor, an air quality sensor, a light intensity sensor, and a noise sensor, which are used to collect indoor temperature and humidity, air quality, lighting, and noise data, respectively.

[0048] The energy consumption sub-unit includes smart meters and smart gas meters. Smart meters are used to measure the energy consumption of household appliances such as air conditioners, fresh air systems, range hoods, refrigerators, and washing machines. Smart gas meters are used to measure the energy consumption of gas appliances such as gas stoves and gas water heaters.

[0049] In some embodiments, the private area module includes a home gateway and a building gateway that is communicatively connected to the home gateway. The data acquisition unit is communicatively connected to the home gateway, and the building gateway is communicatively connected to the community's artificial intelligence big data platform. The alarm information, environmental information, and energy consumption information collected by the data acquisition unit are periodically (e.g., every hour) reported to the home gateway. After collecting the information data, the home gateway sends it to the community's artificial intelligence big data platform through the building gateway.

[0050] More specifically, the sensors communicate with the home gateway using protocols such as Zigbee and LoRa, while the home gateway communicates with the building gateway using protocols such as MQTT and CoAP over 5G.

[0051] In some embodiments, the community's artificial intelligence big data platform is configured as follows:

[0052] When responding to a property maintenance request, an electronic work order with a priority tag is generated.

[0053] As an example of an electronic work order, when a request for repair of the kitchen drain pipe in room 302, unit 2, building 3 is made, the work order “{"type":"repair","priority":2,"location":"kitchen drain pipe","binding":"<3-2-302 / BIM_coordinatesX:35.7,Y:28.1>"} is generated.

[0054] In some embodiments, the community's artificial intelligence big data platform is configured as follows:

[0055] Specifically, the community emergency response plan is triggered when keywords related to emergencies are identified.

[0056] The steps to trigger the community emergency response plan when identifying keywords related to emergencies include:

[0057] Keyword recognition and real-time monitoring of user commands: When preset keywords such as "fire", "water leak" or "fainting" are detected, an alarm signal is immediately sent to the community's artificial intelligence big data platform.

[0058] Once the protocol is activated, the community's AI big data platform receives the signal, determines the event type based on the preset community emergency response plan classification standards, and automatically matches the corresponding community emergency response plan.

[0059] The system implements a tiered response, initiating response measures according to the level of the emergency: Primary response (general event): notifying property management staff for on-site handling; Intermediate response (major event): coordinating with the community police station and nearby medical institutions; High-level response (major or above event): directly reporting to the street-level emergency command center and requesting support.

[0060] Information loop is maintained, and progress updates are continuously pushed to residents throughout the handling process.

[0061] In some embodiments, the community's artificial intelligence big data platform is configured as follows:

[0062] Provides dynamic search services for information on surrounding facilities.

[0063] Specifically, as a specific implementation method for providing dynamic retrieval services for surrounding facilities information, the community's artificial intelligence big data platform pre-associates facility information within a certain range around the community, and pushes the associated facility information to the residents by parsing their instructions.

[0064] In some embodiments, the community's artificial intelligence big data platform is configured as follows:

[0065] The owner's voice command stream is parsed using a natural language processing engine;

[0066] Specifically, when it is determined that the intervention of property management personnel is required, the voice interaction unit will connect with the property management personnel to conduct a dialogue, and instructions will be issued to the property service personnel at the same time.

[0067] In some embodiments, the demand layer also includes a public area module, which is equipped with an interface for expanding the monitoring of public facilities; specifically, interfaces such as LoRaWAN are reserved for expanding the monitoring of public facilities such as lighting, traffic, park security, and logistics.

[0068] In some embodiments, the embodied robot has a LiDAR SLAM positioning module, a robotic arm, and an interactive screen. The LiDAR SLAM positioning module is used for the positioning of the embodied robot, the robotic arm is used for handling objects, and the interactive screen is used for data interaction. The embodied robot utilizes existing technology and is an artificial intelligence carrier with a physical body. It perceives the environment through sensors and performs tasks autonomously. It can complete precision assembly with a humanoid robotic arm, traverse complex terrain with two legs, and even adapt to dynamic scenes through continuous learning. It can help homeowners solve many small troubles in daily life, such as picking up people at the entrance of the community, picking up express delivery and takeout, and finding lost items.

[0069] The various embodiments of the present invention have now been described in detail. To avoid obscuring the concept of the invention, some details known in the art have not been described. Those skilled in the art can fully understand how to implement the technical solutions disclosed herein based on the above description.

[0070] The embodiments described above only illustrate some implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. An artificial intelligence-based operation and maintenance management system for residential communities, characterized in that, include: Demand layer, management layer, and execution layer; The demand layer includes a private area module, which is deployed inside each residence. The private area module includes a data acquisition unit and a voice interaction unit. The data acquisition unit is used to collect alarm information, environmental information and energy consumption information on a residence-by-residence basis. The voice interaction unit is used to collect the owner's voice command stream. The management layer includes a community AI big data platform, which is used to collect information collected by the data acquisition unit and parse the residents' voice command stream through a natural language processing engine to output service instructions. The execution layer includes an embodied robot, which executes service instructions from the community's artificial intelligence big data platform.

2. The artificial intelligence operation and maintenance management system for residential communities according to claim 1, characterized in that: The natural language processing engine includes a parsing module and a classification module; The parsing module is configured to automatically identify the owner's location by binding the owner's residential unit number with voiceprint features; The classification module uses the BERT-3.0 model to generate JSON instructions containing position and priority fields.

3. The artificial intelligence operation and maintenance management system for residential communities according to claim 1, characterized in that: The data acquisition unit includes: An alarm subunit, comprising an intrusion detector, a smoke detector, a water immersion sensor, and a gas alarm; An environmental subunit, comprising a temperature and humidity sensor, an air quality sensor, a light intensity sensor, and a noise sensor; The energy consumption subunit includes a smart electricity meter and a smart gas meter.

4. The artificial intelligence operation and maintenance management system for residential communities according to claim 1, characterized in that: The private area module includes a home gateway and a building gateway that is communicatively connected to the home gateway. The data acquisition unit is communicatively connected to the home gateway, and the building gateway is communicatively connected to the community's artificial intelligence big data platform.

5. The artificial intelligence operation and maintenance management system for residential communities according to claim 1, characterized in that: The community's artificial intelligence big data platform is configured as follows: When responding to a property maintenance request, an electronic work order with a priority tag is generated.

6. The artificial intelligence operation and maintenance management system for residential communities according to claim 1, characterized in that: The community's artificial intelligence big data platform is configured as follows: The community emergency response plan is triggered when keywords related to emergencies are identified.

7. The artificial intelligence operation and maintenance management system for residential communities according to claim 1, characterized in that: The community's artificial intelligence big data platform is configured as follows: Provides dynamic search services for information on surrounding facilities.

8. The artificial intelligence operation and maintenance management system for residential communities according to claim 1, characterized in that: The community's artificial intelligence big data platform is configured as follows: The owner's voice command stream is parsed using a natural language processing engine; When it is recognized that the intervention of property management personnel is required, the voice interaction unit is connected to the property management personnel to start a dialogue, and instructions are issued to the property service personnel at the same time.

9. The artificial intelligence operation and maintenance management system for residential communities according to claim 1, characterized in that: The embodied robot is equipped with a LiDAR SLAM positioning module, a robotic arm, and an interactive screen.

10. The artificial intelligence operation and maintenance management system for residential communities according to claim 1, characterized in that: The demand layer also includes a public area module, which is equipped with an interface for expanding public facility monitoring.

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